综合物探方法在探测深部矿产中的应用--以秋树湾铜钼矿区的试验剖面为例

秋树湾铜钼矿区作为东秦岭成矿带上一中型钼矿区,扩大深部找矿成为迫切需求,物探方法是弄清楚矿区深部矿体延伸特征的重要手段。本次采用多频相对相位激电法、自然电位法及大地电流法的结合,选择典型剖面进行地电综合法的测试。结果表明,地电综合法可以探测本区深部岩体的起伏形态,对下一步利用物探方法进行勘探具有指导意义。     

基于教育博客的教师互动策略模型研究

教育博客的出现顺应了运用信息技术工具进行教师专业发展的需求。教师在使用教育博客中也面临一些问题,其中一个重要问题就是缺乏深度互动。因此,当前需要一个策略模型来指导教师利用博客进行深度互动。通过以晋江教师研修网的博客平台为例,运用社会网络分析软件对博客平台进行数据分析,在研究文献的基础上,结合博客平台的特点,设计博文分析量表对博客进行内容分析,从宏观上和微观上总结此博客平台的教师互动情况,并对其原因进行剖析,提出了基于教育博客的教师互动策略模型。     

深水静流秋意真——读傅溪鹏报告文学和散文集《深·秋》

傅溪鹏是新时期以来中国报告文学发展的参与者和见证人。20世纪八九十年代是他创作的旺季,进入新的世纪,傅溪鹏更多地从事报告文学的组织、编选和评论等。《深·秋》所收一是报告文学和散文随笔,二是创作评论等。读《深·秋》,有一种深水静流秋意真的感觉。     

禅宗泰斗虚云和尚的女性观

近代禅宗泰斗虚云和尚悲深行苦、志大气刚,其追求众生平等且一以贯之地践行的女性观,不仅堪为世范,也为当代的女性主义、深层生态学提供丰厚的理论资源。进一步弘扬虚云和尚的女性观,不仅有益世道人心,也有益于地球未来的生态和谐。     

A hybrid lexicon-based and neural approach for explainable polarity detection

In this work, we propose BERT-WMAL, a hybrid model that brings together information coming from data through the recent transformer deep learning model and those obtained from a polarized lexicon. The result is a model for sentence polarity that manages to have performances comparable with those at the state-of-the-art, but with the advantage of being able to provide the end-user with an explanation regarding the most important terms involved with the provided prediction. The model has been evaluated on three polarity detection Italian dataset, i.e., SENTIPOLC, AGRITREND and ABSITA. While the first contains 7,410 tweets released for training and 2,000 for testing, the second and the third respectively include 1,000 tweets without splitting , and 2,365 reviews for training, 1,171 for testing. The use of lexicon-based information proves to be effective in terms of the F1 measure since it shows an improvement of F1 score on all the observed dataset: from 0.664 to 0.669 (i.e, 0.772%) on AGRITREND, from 0.728 to 0.734 (i.e., 0.854%) on SENTIPOLC and from 0.904 to 0.921 (i.e, 1.873%) on ABSITA. The usefulness of this model not only depends on its effectiveness in terms of the F1 measure, but also on its ability to generate predictions that are more explainable and especially convincing for the end-users. We evaluated this aspect through a user study involving four native Italian speakers, each evaluating 64 sentences with associated explanations. The results demonstrate the validity of this approach based on a combination of weights of attention extracted from the deep learning model and the linguistic knowledge stored in the WMAL lexicon. These considerations allow us to regard the approach provided in this paper as a promising starting point for further works in this research area.     

Named entity recognition in Turkish: A comparative study with detailed error analysis

Named entity recognition aims to detect pre-determined entity types in unstructured text. There is a limited number of studies on this task for low-resource languages such as Turkish. We provide a comprehensive study for Turkish named entity recognition by comparing the performances of existing state-of-the-art models on the datasets with varying domains to understand their generalization capability and further analyze why such models fail or succeed in this task. Our experimental results, supported by statistical tests, show that the highest weighted F1 scores are obtained by Transformer-based language models, varying from 80.8% in tweets to 96.1% in news articles. We find that Transformer-based language models are more robust to entity types with a small sample size and longer named entities compared to traditional models, yet all models have poor performance for longer named entities in social media. Moreover, when we shuffle 80% of words in a sentence to imitate flexible word order in Turkish, we observe more performance deterioration, 12% in well-written texts, compared to 7% in noisy text.     

基于“互联网+”的科研成果与专业课程的深度融合研究——以《钻井液与完井液》为例

“互联网+”与高等教育课程的深度融合已经成为不可逆转的发展趋势,但目前“互联网+”计划与专业基础课程建设之间的融合还严重滞后,亟待健全和完善。文航以“互联网+”与专业课程《钻井液与完井液》为例,探讨了在课程建设、课程设置和考核机制等方面,建立了“项目引导+智慧教育”,“互联网+现场案例分析”的教育新模式,积极推进科研促教学结合,激发大学生创新精神,实现专业知识到双创能力的转化。     

A comparative study of student attitude,learning and teaching practices in Pakistan and Britain

Good teaching is open to change and it involves constantly trying to find out what the effects of instruction are on learning, and modifying that instruction in the light of the evidence. Similarly, the ultimate outcome of instructional practice is effective student learning. Therefore, in this perspective, adequately meeting the varying needs of students is a major challenge for the modern education system in every country. As the title indicates, this paper attempts to explore students’ attitudes to studying and learning in order to help encourage greater engagement with quality learning. The study is based on primary data with regard to postgraduate education and learning in respective British and Pakistani education institutions—i.e. Moray House School of Education (Edinburgh University) and the Institute of Education and Research (University of the Punjab, Lahore). In the context of the collaboration of these two institutions, the paper focuses on the ways and means to enhance the system‐wide capacity for research‐based practice.     

时代歌手抒豪情--读杨若飞诗集《情海荡舟》

作为一名时代歌手,杨若飞的诗集《情海荡舟》题材广泛,形式多样。他的诗没有当今诗坛上颇为走俏的作者"自我表现"之作,有的只是对时代风貌的形象再现和对时代精神的充分表达。     

英语语篇深层信息分析与透视

本文重点对英语语篇深层次信息的获取作进一步分析，对高考阅读中的难点、主旨大意的获取及推理判断题的应对策略加以点拨。